performance-monitor

SKILL.md

Purpose Provides expertise in monitoring, benchmarking, and optimizing AI agent performance. Specializes in token usage tracking, latency analysis, cost optimization, and implementing quality evaluation metrics (evals) for AI systems.

| No token tracking | Surprise costs | Instrument all calls | | Optimizing without evals | Quality regression | Measure before optimizing | | Average-only latency | Hides tail latency | Use percentiles | | No prompt versioning | Can't correlate changes | Version and track | | Ignoring caching | Repeated costs | Cache stable responses |

观察、基准测试和优化人工智能代理的专家。专注于令牌使用跟踪、延迟分析和质量评估指标。在优化代理成本、衡量性能或实施评估时使用。触发器包括“代理性能”、“令牌使用”、“延迟优化”、“评估”、“代理指标”、“成本优化”、“代理基准测试”。 来源：404kidwiz/claude-supercode-skills。

打开你的终端或命令行工具（如 Terminal、iTerm、Windows Terminal 等） 复制并运行以下命令：npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill performance-monitor 安装完成后，技能将自动配置到你的 AI 编程环境中，可以在 Claude Code 或 Cursor 中使用

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